In this study, we propose a novel approach that supports requirements discussions in virtual environments by automatically generating personas from real-time speech-to-text data. In our pilot experiment, 18 participants (14 from universities and 4 from IT companies) used the generated personas to discuss accessibility requirements within the virtual environment. Participants reported a relatively high level of satisfaction with the social presence and usability of the VR system. We also found that requirements discussions based on personas have a lower workload. Finally, we outline the main directions for future work.

翻译：本研究提出了一种新颖方法，通过实时语音转文本数据自动生成角色，以支持虚拟环境中的需求讨论。在我们的试点实验中，18名参与者（14名来自高校，4名来自IT公司）使用生成的角色在虚拟环境中讨论了无障碍需求。参与者报告了对VR系统的社交临场感和可用性有较高的满意度。我们还发现，基于角色的需求讨论具有较低的工作负荷。最后，我们概述了未来工作的主要方向。